AI Transformation Lead - Defense Engines (Remote)

GE Aerospace; Helena (MT); Remote; USD 176,000 - 235,000; Full time

Job summary

GE Aerospace is seeking a data/AI product leader for the Defense Engines & Services portfolio. You will own the vision, roadmap, and end-to-end lifecycle of data, analytics, and AI capabilities, partnering with operators and planners to deliver measurable improvements in delivery and spare parts output.

You will embed with Genba teams, build rapid prototypes, and drive value while aligning with enterprise data standards and governance. Travel up to 50% may be required.

Qualifications

• Bachelor’s degree (or equivalent) with minimum 8 years IT experience; Associate with 13 years or High School with 15 years also recognized.
• Minimum 8 years of professional experience in IT.
• Ability to travel; 10-50%.

Responsibilities

• Own all aspects of the lifecycle (planning, forecasting, production) for multiple interdependent data, analytics, and AI products.
• Build and maintain the DES data and analytics product roadmap.
• Stand up self-service data and analytics on manufacturing, quality, and delivery data.
• Operationalize and sustain value from advanced analytics and agentic AI investments.
• Partner with central DT and Enterprise Data on data fabric and ontology adoption.
• Take AI-enabled ideas from concept to working software and test feasibility.
• Work forward-deployed with operators, planners, and engineers to embed with the Genba.
• Define the value case in delivery terms (engine days, turnaround time, inventory turns).

Skills

Python

SQL

Data analytics

AI concepts

Education

Bachelor’s degree in IT/Engineering

Military experience considered

Tools

MES

ERP

Job description

GE Aerospace is seeking a data/AI product leader for the Defense Engines & Services portfolio. You will own the vision, roadmap, and end-to-end lifecycle of data, analytics, and AI capabilities, partnering with operators and planners to deliver measurable improvements in delivery and spare parts output.

You will embed with Genba teams, build rapid prototypes, and drive value while aligning with enterprise data standards and governance. Travel up to 50% may be required.